Tags: data visualization

All Categories (21-40 of 60)

  1. Histograms and Boxplots

    21 Jan 2019 | Teaching Materials | Contributor(s):

    By Suann Yang

    SUNY Geneseo

    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.

    https://qubeshub.org/publications/1019/?v=1

  2. Introduction to Earth Data Science Textbook

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino, Leah Wasser

    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

    https://qubeshub.org/publications/1440/?v=1

  3. Investigating human impacts on stream ecology: Intro to R

    08 May 2019 | Teaching Materials | Contributor(s):

    By Kristen Kaczynski

    California State University - Chico

    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    https://qubeshub.org/publications/1144/?v=1

  4. Leaf cutter ant foraging

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2, Myra Hughey2

    1. Radford University 2. Vassar College

    This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.

    https://qubeshub.org/publications/542/?v=1

  5. Lindsay Alexandra Coome

    https://qubeshub.org/community/members/8278

  6. Making Predictions with Linear Models: A Murder Mystery Case Study

    31 May 2021 | Teaching Materials | Contributor(s):

    By Miranda Chen Musgrove1, Lisa A. Corwin1, Andrew Martin1

    University of Colorado, Boulder

    This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.

    https://qubeshub.org/publications/2396/?v=1

  7. Marney Pratt

    https://qubeshub.org/community/members/12436

  8. Methods from Kirby et al. 2019 (The Figure of the Day: A Classroom Activity to Improve Students' Figure Creation Skills in Biology) evaluating the effectiveness of the “Figure of the Day” graphical exercise

    Collections | 23 Aug 2022 | Posted by Suann Yang

    https://qubeshub.org/community/groups/biographi/collections/quantitative-assessments

  9. Module 2: Transcription Part I: From DNA Sequence to Transcription Unit

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Maria Santisteban1, Alexa Sawa2

    1. University of North Carolina - Pembroke 2. College of the Desert

    This module illustrates how a primary transcript (pre-mRNA) is synthesized using a DNA molecule as the template. Students will learn about the importance of the 5' and 3' regions of the gene for...

    https://qubeshub.org/publications/1990/?v=1

  10. Module 4: Removal of Introns from pre-mRNA by Splicing

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Meg Laakso1, Anne Rosenwald2

    1. Eastern University 2. Georgetown University

    In this module, students will learn to identify splice donor and acceptor sites that are best supported by RNA-Seq data, and use the canonical splice donor and splice acceptor sequences to identify...

    https://qubeshub.org/publications/1992/?v=1

  11. Module 6: Alternative Splicing

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Leocadia Paliulis1, Anne Rosenwald2

    1. Bucknell University 2. Georgetown University

    This module explores how multiple different mRNAs and polypeptides can be encoded by the same gene. After completing this module students will be able to explain how alternative splicing of a gene...

    https://qubeshub.org/publications/1994/?v=1

  12. Phenotypic plasticity and predation

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/publications/545/?v=1

  13. Phenotypic plasticity and predation

    29 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/publications/545/?v=2

  14. plotly

    Collections | 08 Feb 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/data-visualization

  15. Pratima Jindal

    https://qubeshub.org/community/members/16787

  16. Quantitative Literacy VALUES Rubric

    Collections | 23 Aug 2022 | Posted by Suann Yang

    https://qubeshub.org/community/groups/biographi/collections/quantitative-assessments

  17. R Base Graphics: An Idiot's Guide

    Collections | 01 Feb 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/resources-for-r

  18. R Base Graphics: An Idiot's Guide

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/teaching_r/collections/data-visualization-in-r

  19. R Commander

    04 Sep 2015 | | Contributor(s):: Drew LaMar

    R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.

  20. R Shiny App Example

    09 May 2018 | | Contributor(s):: Drew LaMar

    This is a simple example used to demonstrate what is needed to host your R Shiny app on QUBESHub.